# 深度学习领域综述总结汇总

---

## 2019-2020

| 序号 | 名称                                                         | 说明                           | 备注 |
| ---- | :----------------------------------------------------------- | ------------------------------ | ---- |
| 1    | A guide to deep learning in healthcare                       | 医疗深度学习技术指南           |      |
| 2    | Multimodal Machine Learning: A Survey and Taxonomy           | 多模态机器学习                 |      |
| 3    | Few-shot Learning: A Survey                                  | 小样本                         |      |
| 4    | Meta-Learning A Survey                                       | 元学习                         |      |
| 5    | Multimodal Intelligence: Representation Learning, Information Fusion, and Applications | 迁移学习                       |      |
| 6    | Multimodal Intelligence Representation Learning,Information Fusion, and Applications | 多模态                         |      |
| 7    | Object Detection in 20 Years: A Survey                       | 目标检测                       |      |
| 8    | A Survey of Techniques for Constructing Chinese Knowledge Graphs and Their Applications | 汉语知识图构建技术及其应用综述 |      |
| 9    | Advances and Open Problems in Federated Learning             | 联邦学习                       |      |
| 10   | Optimization for deep learning theory and algorithms         | 深度学习优化理论算法           |      |



## 2020-2021

| 序号 | 名称                                                         | 说明                     | 备注 |
| :--: | :----------------------------------------------------------- | ------------------------ | ---- |
|  1   | Recent advances in deep learning theory                      | 深度学习理论             |      |
|  2   | Learning from Very Few Samples: A Survey                     | 少样本学习               |      |
|  3   | A Survey on Knowledge Graphs: Representation, Acquisition and Applications | 知识图谱研究             |      |
|  4   | A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications | GAN算法理论和应用        |      |
|  5   | A Survey on Causal Inference                                 | 因果推断综述论文         |      |
|  6   | Pre-trained Models for Natural Language Processing: A Survey | 自然语言处理的预训练模型 |      |
|  7   | A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources | 异质图嵌入               |      |
|  8   | Graph Neural Networks: Taxonomy, Advances and Trends         | 图神经网络               |      |
|  9   | Efficient Transformers: A Survey                             | 高效Transformer          |      |
|  10  | Self-supervised Learning: Generative or Contrastive          | 自我监督学习             |      |



## 2021-2022

| 序号 | 名称                                                         | 说明               | 备注   |
| :--: | :----------------------------------------------------------- | ------------------ | ------ |
|  1   | 关于深度学习的一点思考                                       | 深度学习           | 周志华 |
|  2   | Attention Mechanisms in Computer Vision: A Survey            | 注意力机制         |        |
|  3   | Geometric Deep Learning Grids, Groups, Graphs, Geodesics, and Gauges | 几何深度学习       |        |
|  4   | A Survey of Transformers                                     | Transformer        |        |
|  5   | Model Complexity of Deep Learning: A Survey                  | 深度学习模型复杂性 |        |
|  6   | Towards Out-Of-Distribution Generalization: A Survey         | 分布外泛化         |        |
|  7   | Deep Long-Tailed Learning: A Survey                          | 深度长尾学习       |        |
|  8   | Trustworthy AI: From Principles to Practices                 | 可信人工智能       |        |
|  9   | Masked Autoencoders Are Scalable Vision Learners             | 自监督MAE          |        |
|  10  | 人工智能的 10 个重大数理基础问题                             | 数理基础           |        |